ConvertCatalogCoordinatesConfig

class lsst.meas.astrom.ConvertCatalogCoordinatesConfig(*args, **kw)

Bases: Config

Configuration for the MatchProbabilistic matcher.

Attributes Summary

column_ref_coord1

The reference table column for the first spatial coordinate (usually x or ra).

column_ref_coord2

The reference table column for the second spatial coordinate (usually y or dec).Units must match column_ref_coord1.

column_target_coord1

The target table column for the first spatial coordinate (usually x or ra).Units must match column_ref_coord1.

column_target_coord2

The target table column for the second spatial coordinate (usually y or dec).Units must match column_ref_coord2.

coords_ref_factor

Multiplicative factor for reference catalog coordinates.If coords_spherical is true, this must be the number of degrees per unit increment of column_ref_coord[12].

coords_ref_to_convert

Dict mapping sky coordinate columns to be converted to pixel columns (Dict, default None)

coords_spherical

Whether column_*_coord[12] are spherical coordinates (ra/dec) or not (pixel x/y) (bool, default True)

coords_target_factor

Multiplicative factor for target catalog coordinates.If coords_spherical is true, this must be the number of degrees per unit increment of column_target_coord[12].

history

mag_zeropoint_ref

Magnitude zeropoint for reference catalog.

Methods Summary

compare(other[, shortcut, rtol, atol, output])

Compare this configuration to another Config for equality.

formatHistory(name, **kwargs)

Format a configuration field's history to a human-readable format.

format_catalogs(catalog_ref, catalog_target)

Format matched catalogs that may require coordinate conversions.

freeze()

Make this config, and all subconfigs, read-only.

items()

Get configurations as (field name, field value) pairs.

keys()

Get field names.

load(filename[, root])

Modify this config in place by executing the Python code in a configuration file.

loadFromStream(stream[, root, filename, ...])

Modify this Config in place by executing the Python code in the provided stream.

loadFromString(code[, root, filename, ...])

Modify this Config in place by executing the Python code in the provided string.

names()

Get all the field names in the config, recursively.

save(filename[, root])

Save a Python script to the named file, which, when loaded, reproduces this config.

saveToStream(outfile[, root, skipImports])

Save a configuration file to a stream, which, when loaded, reproduces this config.

saveToString([skipImports])

Return the Python script form of this configuration as an executable string.

setDefaults()

Subclass hook for computing defaults.

toDict()

Make a dictionary of field names and their values.

update(**kw)

Update values of fields specified by the keyword arguments.

validate()

Validate the Config, raising an exception if invalid.

values()

Get field values.

Attributes Documentation

column_ref_coord1

The reference table column for the first spatial coordinate (usually x or ra). (str, default 'ra')

column_ref_coord2

The reference table column for the second spatial coordinate (usually y or dec).Units must match column_ref_coord1. (str, default 'dec')

column_target_coord1

The target table column for the first spatial coordinate (usually x or ra).Units must match column_ref_coord1. (str, default 'coord_ra')

column_target_coord2

The target table column for the second spatial coordinate (usually y or dec).Units must match column_ref_coord2. (str, default 'coord_dec')

coords_ref_factor

Multiplicative factor for reference catalog coordinates.If coords_spherical is true, this must be the number of degrees per unit increment of column_ref_coord[12]. Otherwise, it must convert the coordinate to the same units as the target coordinates. (float, default 1.0)

coords_ref_to_convert

Dict mapping sky coordinate columns to be converted to pixel columns (Dict, default None)

coords_spherical

Whether column_*_coord[12] are spherical coordinates (ra/dec) or not (pixel x/y) (bool, default True)

coords_target_factor

Multiplicative factor for target catalog coordinates.If coords_spherical is true, this must be the number of degrees per unit increment of column_target_coord[12]. Otherwise, it must convert the coordinate to the same units as the reference coordinates. (float, default 1.0)

history

Read-only history.

mag_zeropoint_ref

Magnitude zeropoint for reference catalog. (float, default 31.4)

Methods Documentation

compare(other, shortcut=True, rtol=1e-08, atol=1e-08, output=None)

Compare this configuration to another Config for equality.

Parameters:
otherlsst.pex.config.Config

Other Config object to compare against this config.

shortcutbool, optional

If True, return as soon as an inequality is found. Default is True.

rtolfloat, optional

Relative tolerance for floating point comparisons.

atolfloat, optional

Absolute tolerance for floating point comparisons.

outputcallable, optional

A callable that takes a string, used (possibly repeatedly) to report inequalities.

Returns:
isEqualbool

True when the two lsst.pex.config.Config instances are equal. False if there is an inequality.

Notes

Unselected targets of RegistryField fields and unselected choices of ConfigChoiceField fields are not considered by this method.

Floating point comparisons are performed by numpy.allclose.

formatHistory(name, **kwargs)

Format a configuration field’s history to a human-readable format.

Parameters:
namestr

Name of a Field in this config.

**kwargs

Keyword arguments passed to lsst.pex.config.history.format.

Returns:
historystr

A string containing the formatted history.

format_catalogs(catalog_ref: DataFrame, catalog_target: DataFrame, select_ref: array = None, select_target: array = None, radec_to_xy_func: Callable = None, return_converted_columns: bool = False, **kwargs)

Format matched catalogs that may require coordinate conversions.

Parameters:
catalog_refpandas.DataFrame

A reference catalog for comparison to catalog_target.

catalog_targetpandas.DataFrame

A target catalog with measurements for comparison to catalog_ref.

select_refnumpy.ndarray, (Nref,)

A boolean array of len catalog_ref, True for valid match candidates.

select_targetnumpy.ndarray, (Ntarget,)

A boolean array of len catalog_target, True for valid match candidates.

radec_to_xy_functyping.Callable

Function taking equal-length ra, dec arrays and returning an ndarray of - x: current parameter (float). - extra_args: additional arguments (dict).

return_converted_columnsbool

Whether to return converted columns in the coord1 and coord2 attributes, rather than keep the original values.

kwargs
Returns:
compcat_ref, compcat_targetComparableCatalog

Comparable catalogs corresponding to the input reference and target.

freeze()

Make this config, and all subconfigs, read-only.

items()

Get configurations as (field name, field value) pairs.

Returns:
itemsItemsView

Iterator of tuples for each configuration. Tuple items are:

  1. Field name.

  2. Field value.

keys()

Get field names.

Returns:
namesKeysView

List of lsst.pex.config.Field names.

load(filename, root='config')

Modify this config in place by executing the Python code in a configuration file.

Parameters:
filenamestr

Name of the configuration file. A configuration file is Python module.

rootstr, optional

Name of the variable in file that refers to the config being overridden.

For example, the value of root is "config" and the file contains:

config.myField = 5

Then this config’s field myField is set to 5.

loadFromStream(stream, root='config', filename=None, extraLocals=None)

Modify this Config in place by executing the Python code in the provided stream.

Parameters:
streamfile-like object, str, bytes, or CodeType

Stream containing configuration override code. If this is a code object, it should be compiled with mode="exec".

rootstr, optional

Name of the variable in file that refers to the config being overridden.

For example, the value of root is "config" and the file contains:

config.myField = 5

Then this config’s field myField is set to 5.

filenamestr, optional

Name of the configuration file, or None if unknown or contained in the stream. Used for error reporting.

extraLocalsdict of str to object, optional

Any extra variables to include in local scope when loading.

Notes

For backwards compatibility reasons, this method accepts strings, bytes and code objects as well as file-like objects. New code should use loadFromString instead for most of these types.

loadFromString(code, root='config', filename=None, extraLocals=None)

Modify this Config in place by executing the Python code in the provided string.

Parameters:
codestr, bytes, or CodeType

Stream containing configuration override code.

rootstr, optional

Name of the variable in file that refers to the config being overridden.

For example, the value of root is "config" and the file contains:

config.myField = 5

Then this config’s field myField is set to 5.

filenamestr, optional

Name of the configuration file, or None if unknown or contained in the stream. Used for error reporting.

extraLocalsdict of str to object, optional

Any extra variables to include in local scope when loading.

Raises:
ValueError

Raised if a key in extraLocals is the same value as the value of the root argument.

names()

Get all the field names in the config, recursively.

Returns:
nameslist of str

Field names.

save(filename, root='config')

Save a Python script to the named file, which, when loaded, reproduces this config.

Parameters:
filenamestr

Desination filename of this configuration.

rootstr, optional

Name to use for the root config variable. The same value must be used when loading (see lsst.pex.config.Config.load).

saveToStream(outfile, root='config', skipImports=False)

Save a configuration file to a stream, which, when loaded, reproduces this config.

Parameters:
outfilefile-like object

Destination file object write the config into. Accepts strings not bytes.

rootstr, optional

Name to use for the root config variable. The same value must be used when loading (see lsst.pex.config.Config.load).

skipImportsbool, optional

If True then do not include import statements in output, this is to support human-oriented output from pipetask where additional clutter is not useful.

saveToString(skipImports=False)

Return the Python script form of this configuration as an executable string.

Parameters:
skipImportsbool, optional

If True then do not include import statements in output, this is to support human-oriented output from pipetask where additional clutter is not useful.

Returns:
codestr

A code string readable by loadFromString.

setDefaults()

Subclass hook for computing defaults.

Notes

Derived Config classes that must compute defaults rather than using the Field instances’s defaults should do so here. To correctly use inherited defaults, implementations of setDefaults must call their base class’s setDefaults.

toDict()

Make a dictionary of field names and their values.

Returns:
dict_dict

Dictionary with keys that are Field names. Values are Field values.

Notes

This method uses the toDict method of individual fields. Subclasses of Field may need to implement a toDict method for this method to work.

update(**kw)

Update values of fields specified by the keyword arguments.

Parameters:
**kw

Keywords are configuration field names. Values are configuration field values.

Notes

The __at and __label keyword arguments are special internal keywords. They are used to strip out any internal steps from the history tracebacks of the config. Do not modify these keywords to subvert a Config instance’s history.

Examples

This is a config with three fields:

>>> from lsst.pex.config import Config, Field
>>> class DemoConfig(Config):
...     fieldA = Field(doc='Field A', dtype=int, default=42)
...     fieldB = Field(doc='Field B', dtype=bool, default=True)
...     fieldC = Field(doc='Field C', dtype=str, default='Hello world')
...
>>> config = DemoConfig()

These are the default values of each field:

>>> for name, value in config.iteritems():
...     print(f"{name}: {value}")
...
fieldA: 42
fieldB: True
fieldC: 'Hello world'

Using this method to update fieldA and fieldC:

>>> config.update(fieldA=13, fieldC='Updated!')

Now the values of each field are:

>>> for name, value in config.iteritems():
...     print(f"{name}: {value}")
...
fieldA: 13
fieldB: True
fieldC: 'Updated!'
validate()

Validate the Config, raising an exception if invalid.

Raises:
lsst.pex.config.FieldValidationError

Raised if verification fails.

Notes

The base class implementation performs type checks on all fields by calling their validate methods.

Complex single-field validation can be defined by deriving new Field types. For convenience, some derived lsst.pex.config.Field-types (ConfigField and ConfigChoiceField) are defined in lsst.pex.config that handle recursing into subconfigs.

Inter-field relationships should only be checked in derived Config classes after calling this method, and base validation is complete.

values()

Get field values.

Returns:
valuesValuesView

Iterator of field values.